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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.66.e129047</article-id>
      <article-id pub-id-type="publisher-id">129047</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Orthodontics</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>﻿Association between mandibular prognathism and Matrilin-1, bone morphogenic protein, Tyr67Asn, homeobox protein hox-A2, Rho-GTPase activating protein, and <italic>Myosin 1H</italic> genes in the Indian population</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Doke</surname>
            <given-names>Anish</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Sabane</surname>
            <given-names>Anand</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Patil</surname>
            <given-names>Amol</given-names>
          </name>
          <email xlink:type="simple">amolp66@yahoo.com</email>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Rahalkar</surname>
            <given-names>Jayesh</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-9192-0413</uri>
          <xref ref-type="aff" rid="A3">3</xref>
          <xref ref-type="aff" rid="A4">4</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Subramaniam</surname>
            <given-names>Tulsi</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-9150-2502</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Nikalje</surname>
            <given-names>Monali</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-1258-128X</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Symbiosis Medical College for Women, Symbiosis University Hospital and Research Centre, Symbiosis International (Deemed University), Lavale, Pune, India</addr-line>
        <institution>Symbiosis International (Deemed University)</institution>
        <addr-line content-type="city">Pune</addr-line>
        <country>India</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Pune, India</addr-line>
        <institution>Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital</institution>
        <addr-line content-type="city">Pune</addr-line>
        <country>India</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">DY Patil Dental College and Hospital, DY Patil Vidyapeeth, Pune, Maharashtra, India</addr-line>
        <institution>DY Patil Dental College and Hospital</institution>
        <addr-line content-type="city">Pune</addr-line>
        <country>India</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Deenanath Mangeshkar Hospital, Pune, Maharashtra, India</addr-line>
        <institution>Deenanath Mangeshkar Hospital</institution>
        <addr-line content-type="city">Pune</addr-line>
        <country>India</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: ﻿Amol Patil, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Pune, India; Email: <email xlink:type="simple">amolp66@yahoo.com</email></p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>08</month>
        <year>2024</year>
      </pub-date>
      <volume>66</volume>
      <issue>4</issue>
      <fpage>528</fpage>
      <lpage>535</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/166E2A20-EE81-50A1-A953-347F77D6F935">166E2A20-EE81-50A1-A953-347F77D6F935</uri>
      <history>
        <date date-type="received">
          <day>05</day>
          <month>06</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>13</day>
          <month>08</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Anish Doke, Anand Sabane, Amol Patil, Jayesh Rahalkar, Tulsi Subramaniam, Monali Nikalje</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Introduction</bold>: Mandibular prognathism (<abbrev xlink:title="Mandibular prognathism" id="ABBRID0E3E">MP</abbrev>) patients present with aesthetic concerns and functional issues, including difficulties in mastication and pronunciation. Studies revealed that mandibular prognathism had definitive Mendelian inheritance patterns. This study aimed to ascertain distinct genetic markers associated with mandibular prognathism in individuals of Indian descent, focusing on exploring the prevalent genetic variations associated with certain genes. This study sought to identify the association of the following gene markers with mandibular prognathism: 1) <italic>Matrilin-1</italic> (<italic>MATN1</italic>) (rs1065755), 2) Bone morphogenic protein 3 (<italic>BMP-3</italic>) (Tyr67Asn), 3) Homeobox protein hox-A2 (<italic>HOXA2</italic>) (Val327Ile), 4) Rho-GTPase activating protein (<italic>ARHGAP 21</italic>) (Gly1121Ser), 5) Myosin 1H (<italic>MYO1H</italic>) (rs10850110)</p>
        <p><bold>Materials and methods</bold>: Forty subjects (age group 18–30 years) were chosen based on their clinical examination, study model, and lateral cephalogram. Ten subjects had normal skeletal jaw-base relationships, and 30 had prognathic mandibles (skeletal class III jaw-base relationships). Two milliliters of blood were taken from each person. The genes, as mentioned above, associated with mandibular prognathism were studied.</p>
        <p>To assess the association between genetic markers and mandibular prognathism, the following statistical tests were used: an unpaired <italic>t</italic>-test was used to compare the mean values of continuous variables between the normal and prognathic groups; a chi-square test was used to evaluate the association between genetic markers and the jaw-base relationship; and an odds ratio was used to assess the strength of association between genetic markers and the prognathic mandible. Statistical analyses were conducted using SPSS software.</p>
        <p><bold>Results</bold>: Out of five single nucleotide polymorphisms (SNP) selected in the study, namely rs10850110, rs1065755, rs111419738, rs143043350, and rs74764079, three SNPs—rs111419738, rs143043350, and rs74764079—did not show differences in the genotypes among the study and control samples. Thus, this indicates that these three SNPs may be related to mutations seen in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EYF">MP</abbrev> in other populations but do not exhibit any association with the people covered in this study. The other two SNPs, rs10850110 and rs1065755, showed variant genotypes in control and study samples.</p>
        <p><bold>Conclusions</bold>: Our research found that rs10850110 and rs1065755 positively correlated with mandibular prognathism. Further studies are needed to see the association between these two restriction sites in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EAG">MP</abbrev> subjects.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>candidate gene</kwd>
        <kwd>class III malocclusion</kwd>
        <kwd>genetic variant</kwd>
        <kwd>mandible</kwd>
        <kwd>prognathism</kwd>
        <kwd>Matrilin-1</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0ENG">
        <title>Citation</title>
        <p>Doke A, Sabane A, Patil A, Rahalkar J, Subramaniam T, Nikalje M. ﻿Association between mandibular prognathism and <italic>Matrilin</italic>-1, bone morphogenic protein, Tyr67Asn, homeobox protein hox-A2, Rho-GTPase activating protein, and <italic>Myosin 1H</italic> genes in the Indian population. Folia Med (Plovdiv) 2024;66(4):528-535. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.66.e129047">10.3897/folmed.66.e129047</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0E4G">
      <title>Introduction</title>
      <p>Progenism, or mandibular prognathism (<abbrev xlink:title="Mandibular prognathism" id="ABBRID0EDH">MP</abbrev>), is a craniofacial developmental condition. It is characterized by irregularities in the size, shape, and location of the individual bones. The anomaly is characterized by an excessive lower jaw protrusion that frequently coexists with insufficient upper jaw growth, causing problems with dental alignment. Complete mesial occlusion, a unique reverse overjet of the incisors, and two-sided buccal occlusion are their outward signs.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> The usual facial profile caused by mandibular prognathism often prompts patients to seek orthodontic therapy, sometimes in conjunction with surgery. Early phenotypic observances are possible, and the phenotype becomes increasingly apparent with growth.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup></p>
      <p>The prevalence of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EWH">MP</abbrev> differs based on ethnic background. The prevalence of mandibular prognathism varies among different populations. In Asian people, such as Chinese, Japanese, and Koreans, the prevalence ranges from 8% to 40%.<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup> Sub-Saharan African individuals also exhibit a higher prevalence, ranging from 3% to 8%.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> ﻿﻿In contrast, individuals of European ethnicity are not frequently affected, with a prevalence ranging from 0.48% to 4%.﻿<sup>[<xref ref-type="bibr" rid="B5 B6 B7 B8 B9">5–9</xref>]</sup> Environmental factors associated with <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EQAAC">MP</abbrev> include low oxygen levels, exposure to ionizing radiation, inadequate nutrition, metabolic and hormonal issues during pregnancy, and enlarged tonsils.<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup></p>
      <p>The inheritance patterns of mandibular prognathism (<abbrev xlink:title="Mandibular prognathism" id="ABBRID0E3AAC">MP</abbrev>) are diverse and have been suggested to include recessive<sup>[<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>]</sup>, autosomal dominant<sup>[<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>]</sup>, dominant with partial penetrance<sup>[<xref ref-type="bibr" rid="B11 B12 B13">11–13</xref>]</sup>, and variable expressivity and penetrance, with variations observed among different ethnic groups<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>. Additionally, a polygenic threshold model has been proposed.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> The precise contribution of genetic and environmental factors to the development of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ELCAC">MP</abbrev><sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> is a subject that requires further clarification and study.</p>
      <p>Genetic markers are genes or DNA codes that have a known place on a chromosome and can be used to tell people or species apart. Variations in the genetic locus may come from mutations or other changes. Some genetic markers are short DNA sequences, like the region surrounding a single nucleotide polymorphism with a single base-pair alteration, or an extensive DNA sequence, like a minisatellite. Genetic markers can help identify the genetic source of an inherited disease, such as a gene mutation that causes a defective protein. It is well known that DNA strands close together on a chromosome inherit genetic material. This feature allows the establishment of a marker to specify the inheritance pattern of a poorly localized gene. Numerous research studies have discovered a connection between the presence and incidence of mandibular prognathism and genetic markers, including <italic>Matrilin</italic>-<italic>1</italic>, bone morphogenic protein 3 (<italic>BMP3</italic>), homeobox protein hox-A2 (<italic>HOXA2</italic>), Rho-GTPase activating protein (<italic>ARHGAP 21</italic>), and <italic>Myosin 1H</italic> (<italic>MYO1H</italic>).</p>
      <p>This case-control study aims to identify common genetic variations linked to specific genes and investigate their ties to the risk for <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EIDAC">MP</abbrev>.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0EMDAC">
      <title>Materials and methods</title>
      <p>Forty people between the ages of 18 and 30 from the Bharati Vidyapeeth Dental College and Hospital in Pune and the Xcelris Laboratories in Ahmedabad participated in the study. The institution’s Research Ethics Review Board approved the study. The case-control study had 30 <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ESDAC">MP</abbrev> patients (20 men and 10 women between the ages of 18 and 30; mean age was 24.73±3.10 years) and 10 healthy people with normal occlusion (2 men and 8 women between the ages of 18 and 30; mean age was 23.4±4.09 years) <bold>(Table <xref ref-type="table" rid="T1">1</xref>)</bold>. Informed consent was obtained from all patients. All study participants had lateral cephalograms done with the same machine (PLANMECA [PM 2002]). A single author drew all of the lateral cephalograms. The lateral cephalograms of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E4DAC">MP</abbrev> patients and the control group were analyzed using the Legan-Burstone analysis, focusing on the following points as well as jaw length:</p>
      <list list-type="bullet">
        <list-item>
          <p>ANB: point A-nasion-point B angle,
</p>
        </list-item>
        <list-item>
          <p>SNA: sella-nasion-point A angle, and
</p>
        </list-item>
        <list-item>
          <p>SNB: sella-nasion-point B angle. 
</p>
        </list-item>
      </list>
      <p>“Sella” refers to the midpoint of the sella turcica (a saddle-shaped depression in the sphenoid bone of the human skull), “nasion” is the midpoint of the frontonasal suture, “point A” is the deepest point on the anterior contour of the maxillary alveolar process, and “point B” is the deepest point on the anterior contour of the mandibular alveolar process.</p>
      <p>Legan and Burstone’s study showed that people in the control group had normal mandibular length and normal ANB (2±2 degrees), normal SNA (82±2 degrees), and normal SNB (80±2 degrees) angles. The study did not include patients with craniofacial conditions, such as cleft lip and palate, endocrine problems, tooth, number, morphology, eruption problems, face asymmetries, and cases with retrognathic maxilla.</p>
      <p>For the genotyping of samples, 2 mL of venous blood was collected from the antecubital area of the arm, and DNA was extracted from each sample (Xcelgen blood DNA isolation kit by Xcelris Laboratory, Ahmedabad). We used synthetic primer sets to amplify extracted DNA in the PCR procedures for five different restriction sites:</p>
      <p>1. Primers for the restriction site-containing area 10850110</p>
      <p>Forward TGTAAAACGACGGCCAGTGTGGTGGTATCTCATTGTGG</p>
      <p>Reverse CAGGAAACAGCTATGACCTCTAAAGCCAGGAGTTGGAGAC</p>
      <p>2. Primers for the restriction site-containing area 1065755</p>
      <p>Forward TGTAAAACGACGGCCAGTAATATCCGGAGAGCACTGAG</p>
      <p>Reverse CAGGAAACAGCTATGACCGCTTCCAGTACAGGAAGTCACT</p>
      <p>3. Primers for the restriction site-containing area: 74764079</p>
      <p>Forward TGTAAAACGACGGCCAGTAGAGAGACCGAAGCCACCTTT</p>
      <p>Reverse CAGGAAACAGCTATGACCAACTGGGCTTACAGGAGATG</p>
      <p>4. Primers for the restriction site-containing area 143043350</p>
      <p>Forward TGTAAAACGACGGCCAGTGAAACTGGGTCAGGGAATCACT</p>
      <p>Reverse CAGGAAACAGCTATGACCTTTGAGCAAGCCCTTAGCGT</p>
      <p>5. Primers for the restriction site-containing area 111419738</p>
      <p>Forward TGTAAAACGACGGCCAGTATGACTTGAGGAAATCCGGTGG</p>
      <p>Reverse CAGGAAACAGCTATGACCCGAGGATTCAGGTCCTATCA</p>
      <p>The ABI 3730xl at Xcelris Laboratory sequenced all PCR products. ExoSAP (USB) purified the amplicons, and an ABI 3730xl Genetic Analyzer from Applied Biosystems in the US sequenced them. For sequencing, Big Dye Terminator v. 3.1 was employed. The sample’s allele presence or absence was marked YES or NO, and the data was collected in percentage. The <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E1EAC">MP</abbrev> case and control allele frequencies were compared for distribution. In PCR, we employed synthetic primer sets to amplify isolated DNA.</p>
      <p>To assess the association between genetic markers and mandibular prognathism, the following statistical tests were used: 1. An unpaired <italic>t</italic>-test was used to compare the mean values of continuous variables between the normal and prognathic groups; 2. A chi-square test was used to evaluate the association between genetic markers and jaw base relationships; and 3. An odds ratio test was used to assess the strength of association between genetic markers and prognathic mandible. Statistical analyses were conducted using SPSS software.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Socio-demographic characteristics of the sample population</p>
        </caption>
        <table id="TID0EDIAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Study Group n=30</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group n=10</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>P value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Age, yrs</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">24.73±3.10</td>
              <td rowspan="1" colspan="1">23.4±4.09</td>
              <td rowspan="1" colspan="1">0.451*, not significant</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Sex</td>
              <td rowspan="1" colspan="1">Male</td>
              <td rowspan="1" colspan="1">20 (66.6 %)</td>
              <td rowspan="1" colspan="1">2 (20%)</td>
              <td rowspan="2" colspan="1">0.047#, significant</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Female</td>
              <td rowspan="1" colspan="1">10 (33.3 %)</td>
              <td rowspan="1" colspan="1">8 (80%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>* using unpaired t-test; # using chi-square test; <italic>p</italic>&gt;0.05 – not significant; <italic>p</italic>&lt;0.05 – significant; <italic>p</italic>&lt;0.001 – highly significant</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="Results" id="SECID0ECFAC">
      <title>Results</title>
      <p>Differences in age between the two groups were not statistically significant. Still, they showed significant variations between both groups as regards the gender of the participants, indicated by a p-value of 0.047 in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>. <bold>Table <xref ref-type="table" rid="T2">2</xref></bold> depicts the mean values for SNA, SNB, and ANB angles, Wits appraisal, and overjet measurement performed between cases and controls. Comparison for each parameter separately amongst cases exhibited a highly significant difference between subjects and controls. <bold>Table <xref ref-type="table" rid="T3">3</xref></bold> shows the association of presence of various parameters between study group and control group. The odds ratio of 1.45 signifies that the individuals with SNP at rs10850110 were at 1.45 times higher risk of developing mandibular prognathism than those without mutation. The odds ratio of 2 signifies that the individuals with SNP at rs1065755 were at 2 times higher risk of developing mandibular prognathism than those without mutation. The distribution of SNP at rs111419738, rs143043350, rs74764079 among cases and controls were inconclusive due to absence of mutation. <bold>Table <xref ref-type="table" rid="T4">4</xref></bold> compares DNA modifications at two regions (rs10850110 and rs1065755) in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EAGAC">MP</abbrev> subjects and controls. The presence of both mutation types in cases is 20%, while in controls, it is 0%. Single mutation types exist in 26.6% of patients and 40% of rules. The absence of both mutations is seen in 53.3% of subjects and 60% of controls, indicating protection against developing <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EEGAC">MP</abbrev>. <bold>Table <xref ref-type="table" rid="T5">5</xref></bold> depicts the genotype distribution in five restriction sites among cases and controls. In restriction site 10850110, the genotypes GA and AG were associated with a significantly increased risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EOGAC">MP</abbrev> while the GG genotype was associated with a decreased risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ESGAC">MP</abbrev>. Percentage of samples showing GA and AG genotypes in the study group were 20% and 6.7%, respectively. In restriction site 1065755, the genotypes TC and TT were associated with a significantly increased risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EWGAC">MP</abbrev> while the CC genotype was associated with a decreased risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E1GAC">MP</abbrev>. Percentages of samples showing TC and TT genotypes in the study group were 26.7% and 6.7%, respectively. The three SNPs rs111419738, rs143043350, and rs74764079 did not show any differences in the genotypes among study and control samples. <bold>Table <xref ref-type="table" rid="T6">6</xref></bold> compares study and control group alleles per marker. <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EEHAC">MP</abbrev> individuals had an over-presented G allele at restriction site 10850110 (<italic>p</italic>=0.78). <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EKHAC">MP</abbrev> participants had an over-presented C allele at restriction site 1065755 (<italic>p</italic>=0.47).</p>
      <table-wrap id="T2" position="float" orientation="portrait">
        <label>Table 2.</label>
        <caption>
          <p>Comparison of SNA, SNB, ANB angles, Wits appraisal and overjet measurement between study group and control group, respectively</p>
        </caption>
        <table id="TID0E2MAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Groups</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>N</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Std. deviation</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Unpaired t-test</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>p-value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SNA<sup>+</sup></td>
              <td rowspan="1" colspan="1">Study group</td>
              <td rowspan="1" colspan="1">30</td>
              <td rowspan="1" colspan="1">81.6</td>
              <td rowspan="1" colspan="1">1.5</td>
              <td rowspan="2" colspan="1">−0.289</td>
              <td rowspan="2" colspan="1">0.776</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Control group</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">81.8</td>
              <td rowspan="1" colspan="1">0.44</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">SNB<sup>+</sup></td>
              <td rowspan="1" colspan="1">Study group</td>
              <td rowspan="1" colspan="1">30</td>
              <td rowspan="1" colspan="1">86.1</td>
              <td rowspan="1" colspan="1">2.13</td>
              <td rowspan="2" colspan="1">5.324</td>
              <td rowspan="2" colspan="1">&lt; 0.001**</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Control group</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">80.8</td>
              <td rowspan="1" colspan="1">0.83</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">ANB<sup>+</sup></td>
              <td rowspan="1" colspan="1">Study group</td>
              <td rowspan="1" colspan="1">30</td>
              <td rowspan="1" colspan="1">−4.5</td>
              <td rowspan="1" colspan="1">1.37</td>
              <td rowspan="2" colspan="1">−9.210</td>
              <td rowspan="2" colspan="1">&lt; 0.001**</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Control group</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">1.4</td>
              <td rowspan="1" colspan="1">0.54</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">WITS</td>
              <td rowspan="1" colspan="1">Study group</td>
              <td rowspan="1" colspan="1">30</td>
              <td rowspan="1" colspan="1">9.0</td>
              <td rowspan="1" colspan="1">5.17</td>
              <td rowspan="2" colspan="1">−4.240</td>
              <td rowspan="2" colspan="1">&lt; 0.001**</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Control group</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">1.0</td>
              <td rowspan="1" colspan="1">0.0</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">OVERJET</td>
              <td rowspan="1" colspan="1">Study group</td>
              <td rowspan="1" colspan="1">30</td>
              <td rowspan="1" colspan="1">−2.76</td>
              <td rowspan="1" colspan="1">1.14</td>
              <td rowspan="2" colspan="1">−9.428</td>
              <td rowspan="2" colspan="1">&lt;0.001**</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Control group</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">2.2</td>
              <td rowspan="1" colspan="1">0.27</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>* <italic>p</italic>&lt;0.05 – significant difference; **<italic>p</italic>&lt;0.001 – highly significant difference; <sup>+</sup>ANB: point A-nasion-point B angle; SNA: sella-nasion-point A angle; SNB: sella-nasion-point B angle</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T3" position="float" orientation="portrait">
        <label>Table 3.</label>
        <caption>
          <p>Association of the presence of various parameters between study group and control group</p>
        </caption>
        <table id="TID0EGYAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Study group n (%)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group n (%)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Odds Ratio (95% CI)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>p-value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs10850110 <italic>Myosin 1H</italic></td>
              <td rowspan="1" colspan="1">Present</td>
              <td rowspan="1" colspan="1">8 (26.66 %)</td>
              <td rowspan="1" colspan="1">2 (20%)</td>
              <td rowspan="2" colspan="1">1.45</td>
              <td rowspan="2" colspan="1">0.766, not significant</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Absent</td>
              <td rowspan="1" colspan="1">22 (73.34%)</td>
              <td rowspan="1" colspan="1">8 (80%)</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs1065755 <italic>Matrilin 1</italic></td>
              <td rowspan="1" colspan="1">Present</td>
              <td rowspan="1" colspan="1">10 (33.33 %)</td>
              <td rowspan="1" colspan="1">2 (20%)</td>
              <td rowspan="2" colspan="1">2</td>
              <td rowspan="2" colspan="1">0.573, not significant</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Absent</td>
              <td rowspan="1" colspan="1">20 (66.67 %)</td>
              <td rowspan="1" colspan="1">8 (80%)</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs111419738 <italic>Rho-GTPase</italic></td>
              <td rowspan="1" colspan="1">Present</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="2" colspan="1">-------</td>
              <td rowspan="2" colspan="1">-------</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Absent</td>
              <td rowspan="1" colspan="1">30 (100 %)</td>
              <td rowspan="1" colspan="1">10 (100 %)</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs143043350 <italic>Homeobox 2</italic></td>
              <td rowspan="1" colspan="1">Present</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="2" colspan="1">-------</td>
              <td rowspan="2" colspan="1">-------</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Absent</td>
              <td rowspan="1" colspan="1">30 (100 %)</td>
              <td rowspan="1" colspan="1">10 (100 %)</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs74764079 <italic>BMP3</italic></td>
              <td rowspan="1" colspan="1">Present</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="1" colspan="1">0 (0 %)</td>
              <td rowspan="2" colspan="1">-------</td>
              <td rowspan="2" colspan="1">-------</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Absent</td>
              <td rowspan="1" colspan="1">30 (100 %)</td>
              <td rowspan="1" colspan="1">10 (100 %)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table 4.</label>
        <caption>
          <p>Comparison of mutation at DNA region of primer 1 (rs10850110) and primer 2 (rs1065755) among study group and control group as a risk indicator</p>
        </caption>
        <table id="TID0ELBAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Risk</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Study group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Odds Ratio</bold>
              </td>
              <td rowspan="1" colspan="1"><bold>p-value</bold>*</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">High risk</td>
              <td rowspan="1" colspan="1">6 (20 %)</td>
              <td rowspan="1" colspan="1">0 (0%)</td>
              <td rowspan="3" colspan="1">2.43</td>
              <td rowspan="3" colspan="1">0.038, significant</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Moderate risk</td>
              <td rowspan="1" colspan="1">8 (26.6 %)</td>
              <td rowspan="1" colspan="1">4 (40%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">No risk</td>
              <td rowspan="1" colspan="1">16 (53.3 %)</td>
              <td rowspan="1" colspan="1">6 (60%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>* chi-square test</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T5" position="float" orientation="portrait">
        <label>Table 5.</label>
        <caption>
          <p>Comparison of each genotype per marker in study group and control group, respectively 0</p>
        </caption>
        <table id="TID0E1FAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Marker</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Genotype</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Study group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Chi-square</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Marker</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="3" colspan="1">rs10850110 <italic>Myosin 1H</italic></td>
              <td rowspan="1" colspan="1">GA</td>
              <td rowspan="1" colspan="1">6 (20 %)</td>
              <td rowspan="1" colspan="1">2 (20%)</td>
              <td rowspan="3" colspan="1">0.356</td>
              <td rowspan="3" colspan="1"><italic>p</italic>=0.837,  no significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">AG</td>
              <td rowspan="1" colspan="1">2 (6.7 %)</td>
              <td rowspan="1" colspan="1">0 (0%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">GG</td>
              <td rowspan="1" colspan="1">22 (73.3%)</td>
              <td rowspan="1" colspan="1">8 (80%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="4" colspan="1">rs1065755 <italic>Matrilin-1</italic></td>
              <td rowspan="1" colspan="1">CC</td>
              <td rowspan="1" colspan="1">20 (66.7%)</td>
              <td rowspan="1" colspan="1">8 (80%)</td>
              <td rowspan="4" colspan="1">0.495</td>
              <td rowspan="4" colspan="1"><italic>p</italic>=0.781, no significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TC</td>
              <td rowspan="1" colspan="1">8 (26.7%)</td>
              <td rowspan="1" colspan="1">2 (20%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">CT</td>
              <td rowspan="1" colspan="1">0 (0%)</td>
              <td rowspan="1" colspan="1">0 (0%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">TT</td>
              <td rowspan="1" colspan="1">2 (6.7%)</td>
              <td rowspan="1" colspan="1">0 (0%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs111419738 <italic>Rho-GTPase</italic></td>
              <td rowspan="1" colspan="1">CC</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1">0.0</td>
              <td rowspan="1" colspan="1"><italic>p</italic>=1.0,  no significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs143043350 <italic>Homeobox 2</italic></td>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1">0.0</td>
              <td rowspan="1" colspan="1"><italic>p</italic>=1.0,  no significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs74764079 <italic>BMP3</italic></td>
              <td rowspan="1" colspan="1">T</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1">0.0</td>
              <td rowspan="1" colspan="1"><italic>p</italic>=1.0,  no significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">30 (100%)</td>
              <td rowspan="1" colspan="1">10 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T6" position="float" orientation="portrait">
        <label>Table 6.</label>
        <caption>
          <p>Comparison of each allele per marker in study group and control group, respectively</p>
        </caption>
        <table id="TID0ENTAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Marker</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Allele</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Study group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Chi-square test</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>p-value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs10850110 <italic>Myosin 1H</italic></td>
              <td rowspan="1" colspan="1">A</td>
              <td rowspan="1" colspan="1">8 (13.3%)</td>
              <td rowspan="1" colspan="1">2 (10%)</td>
              <td rowspan="2" colspan="1">0.076</td>
              <td rowspan="2" colspan="1">0.783,  No significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">G</td>
              <td rowspan="1" colspan="1">52 (86.7%)</td>
              <td rowspan="1" colspan="1">18 (90%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">60 (100%)</td>
              <td rowspan="1" colspan="1">20 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">rs1065755 <italic>Matrilin-1</italic></td>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">48 (80%)</td>
              <td rowspan="1" colspan="1">18 (90%)</td>
              <td rowspan="2" colspan="1">0.519</td>
              <td rowspan="2" colspan="1">0.471,  No significant difference</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">T</td>
              <td rowspan="1" colspan="1">12 (20%)</td>
              <td rowspan="1" colspan="1">2 (10%)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">60 (100%)</td>
              <td rowspan="1" colspan="1">20 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs111419738 <italic>Rho-GTPase</italic></td>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">60</td>
              <td rowspan="1" colspan="1">20</td>
              <td rowspan="1" colspan="1">---</td>
              <td rowspan="1" colspan="1">---</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">60 (100%)</td>
              <td rowspan="1" colspan="1">20 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs143043350 <italic>Homeobox 2</italic></td>
              <td rowspan="1" colspan="1">C</td>
              <td rowspan="1" colspan="1">60</td>
              <td rowspan="1" colspan="1">20</td>
              <td rowspan="1" colspan="1">---</td>
              <td rowspan="1" colspan="1">---</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">60 (100%)</td>
              <td rowspan="1" colspan="1">20 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">rs74764079 <italic>BMP3</italic></td>
              <td rowspan="1" colspan="1">T</td>
              <td rowspan="1" colspan="1">60</td>
              <td rowspan="1" colspan="1">20</td>
              <td rowspan="1" colspan="1">---</td>
              <td rowspan="1" colspan="1">---</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">Total</td>
              <td rowspan="1" colspan="1">60 (100%)</td>
              <td rowspan="1" colspan="1">20 (100%)</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="Discussion" id="SECID0EQHAC">
      <title>Discussion</title>
      <p>treating patients with <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EWHAC">MP</abbrev><sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> is challenging for orthodontists as it aims to improve facial aesthetics and address functional problems. Existing dental issues and attempts to hide disproportionate jaw bases limit treatment possibilities for these patients. Early orthodontic treatment patients may need surgery after growth.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> Identifying class III <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EIIAC">MP</abbrev> patients earlier may assist orthodontists in planning future orthodontic care.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> Identifying the mutation in the candidate gene responsible for the development of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ETIAC">MP</abbrev> will help determine environmental factors leading to the prognathic phenotype and decide the scope of early treatment and prediction of the prognosis.</p>
      <p>The non-collagenous chondrocytes secrete cartilage protein <italic>Matrilin-1</italic>. <sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup> TMJ condyle chondrocytes express <italic>Matrilin-1</italic> like the long bones.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup><italic>Matrilin-1</italic> is crucial for synoviocyte chondrogenic development.<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> Newborn mice’s long bones, skull, and nasal septum bones contain <italic>Matrilin-1</italic>.<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup><italic>Matrilin-1</italic> knockout mice display abnormal type II collagen fibrillogenesis and fibrous organization.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup> Korean and Japanese studies found various backbone proteins on chromosome 1p36, including <italic>Matrilin-1</italic>. <sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> No significant difference in rs1065755 SNP distribution between cases and controls was found (<italic>p</italic>=0.575). Individuals with the rs1065755 SNP often had a higher risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ERKAC">MP</abbrev> than those without the mutation.</p>
      <p>Our findings contradict Jang et al.<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> They compared the genotype distribution of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E5KAC">MP</abbrev> and controls at three restriction sites in the Korean <italic>Matrilin-1</italic> gene to determine how mutation affects <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EELAC">MP</abbrev>. They examined restriction sites rs20566, rs1149045, and rs1065755. The frequency of SNP at rs20566 and rs1065755 in patients was substantially more significant than that in controls. Restricting area 1065755 genes TC and TT also increased the <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EILAC">MP</abbrev> risk. In contrast, the CC genotype lowered the <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EMLAC">MP</abbrev> risk.<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> The study by Lavi et al. demonstrated that the 354 T &gt;C (rs20566) polymorphism in the exon 5 region of the <italic>MATN1</italic> gene, specifically the CC genotype, is a significant risk factor for class III skeletal malocclusion with mandibular prognathism in the Deutero-Malay population.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup></p>
      <p>Our investigation found no significant difference in SNP distribution at rs10850110 between patients and controls (<italic>p</italic>=0.766). The study group had 26.66% mutant samples compared to 20% in the control group. The study group had 73.34% mutation-free samples, while the control group had 80%. People with SNP at rs10850110 had a 1.45-fold increased risk of <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EDMAC">MP</abbrev> than those without mutation. Tassopoulou et al.<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup> examined <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EOMAC">MP</abbrev><italic>MYO1H</italic> genetic variation. Atteri et al. found a significant association between the rs10850110 polymorphism in the <italic>MYO1H</italic> gene and an increased risk of mandibular prognathism in a local population, with the G allele notably overrepresented in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EWMAC">MP</abbrev> cases compared to the A allele.<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup> Contrarily, Dalaie et al. reported no significant correlation between the rs10850110 and rs11611277 polymorphisms of the <italic>MYO1H</italic> gene and <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EDNAC">MP</abbrev> in the Iranian population.<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup> However, they noted a lower frequency of these polymorphisms in the patient group, suggesting a potential association with mandibular retrognathism that warrants further investigation with a larger sample size. Milosevic et al. aimed to examine the association between <italic>MATN1</italic>, <italic>MYO1H</italic>, and <italic>BMP-4</italic> gene polymorphisms and <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EUNAC">MP</abbrev> in the Serbian population. Among 110 participants, only the <italic>MYO1H</italic> polymorphism showed a significant difference, with heterozygous carriers of the T allele having nearly a 3-fold increased risk of developing <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E1NAC">MP</abbrev>. No associations were found for <italic>MATN1</italic> and <italic>BMP-4</italic> polymorphisms, suggesting that <italic>MYO1H</italic> gene polymorphisms may be risk modulators for <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EEOAC">MP</abbrev> in Serbian patients.<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup></p>
      <p>We examined allele frequency at 1p22.2 and found that the G allele was more common in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EQOAC">MP</abbrev> cases than in controls (<italic>p</italic>=0.54). The genotypes GA and AG at restriction site 10850110 increased the <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EWOAC">MP</abbrev> risk, while GG significantly reduced it. The research samples had genotypes of GA and AG at frequencies of 20% and 6.7%, respectively. Our <abbrev xlink:title="Mandibular prognathism" id="ABBRID0E1OAC">MP</abbrev> investigation found no statistically significant G allele at 1p22.2 frequency (<italic>p</italic>=0.78).</p>
      <p>﻿The study found no significant differences in rs111419738 SNP distribution between patients or controls and no changes in rs143043350 SNP distribution between patients and controls. Mutations in cases and controls did not cause the SNP at rs143043350. A unique Val327Ile variant was found in the <italic>HOXA2</italic> mutation<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>, but <abbrev xlink:title="Mandibular prognathism" id="ABBRID0ELPAC">MP</abbrev> lacked this variant. No Tyr67Asn variant in <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EPPAC">MP</abbrev>’s <italic>BMP3</italic> gene was found, highlighting the need for further research on <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EVPAC">MP</abbrev> genetics in India. Not having enough sample size to verify statistical significance was one of our research limitations.</p>
    </sec>
    <sec sec-type="﻿﻿Conclusion" id="SECID0EZPAC">
      <title>﻿﻿Conclusion</title>
      <p>The study found no significant difference between cases and controls in the SNP distribution of the rs10850110 locus. However, the GA and AG genotypes were associated with <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EAAAE">MP</abbrev> risk, while the GG genotype was associated with <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EEAAE">MP</abbrev>. The rs1065755 locus had no significant difference between cases and controls, with TC and TT genotypes associated with <abbrev xlink:title="Mandibular prognathism" id="ABBRID0EIAAE">MP</abbrev> risk. The study also found a positive association between mandibular protrusion and rs10850110 and rs1065755, but further research is needed to understand their interaction.</p>
    </sec>
    <sec sec-type="Acknowledgements" id="SECID0EMAAE">
      <title>Acknowledgements</title>
      <p>The authors have no support to report.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0ERAAE">
      <title>Funding</title>
      <p>The authors have no funding to report.</p>
    </sec>
    <sec sec-type="Competing Interests" id="SECID0EWAAE">
      <title>Competing Interests</title>
      <p>The authors have declared that no competing interests exist.</p>
    </sec>
    <sec sec-type="Author contributions" id="SECID0E2AAE">
      <title>Author contributions</title>
      <p><italic>Anish Doke</italic>: carried out the research project; <italic>Anand Sabane</italic>: conceptualization; <italic>Amol Patil</italic>: conceptualization, observation, and writing; <italic>Jayesh Rahalkar</italic>: provided patients and data; <italic>Tulsi Subramaniam</italic>: writing and observation; <italic>Monali Nikalje</italic>: writing and observation.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <mixed-citation xlink:type="simple">1. Tomaszewska A, Kopczyński P, Flieger R. Genetic basis of mandibular prognathism. Arch Biomed Sci 2013; 1(2):16-19.</mixed-citation>
      </ref>
      <ref id="B2">
        <mixed-citation xlink:type="simple">2. Cruz RM, Krieger H, Ferreira R, et al. Major gene and multifactorial inheritance of mandibular prognathism. Am J Med Genet A 2008; 146A:71–7.</mixed-citation>
      </ref>
      <ref id="B3">
        <mixed-citation xlink:type="simple">3. Allwright WC, Bundred WH. A survey of handicapping dentofacial anomalies among Chinese in Hong Kong. Int Dent J 1964; 14:505–19.</mixed-citation>
      </ref>
      <ref id="B4">
        <mixed-citation xlink:type="simple">4. Garner LD, Butt MH. Malocclusion in Black Americans and Nyeri Kenyans. An epidemiologic study. Angle Orthod 1985; 55:139–46.</mixed-citation>
      </ref>
      <ref id="B5">
        <mixed-citation xlink:type="simple">5. Davidov S, Geseva N, Donveca T, et al. Incidence of prognathism in Bulgaria. Dent Abstr 1961; 6:240.</mixed-citation>
      </ref>
      <ref id="B6">
        <mixed-citation xlink:type="simple">6. Emrich RE, Brodie AG, Blayney JR. Prevalence of Class 1, Class 2, and Class 3 malocclusions (Angle) in an urban population. An epidemiological study. J Dent Res 1965; 44:947–53.</mixed-citation>
      </ref>
      <ref id="B7">
        <mixed-citation xlink:type="simple">7. Newman GV. Prevalence of malocclusion in children six to fourteen years of age and treatment in preventable cases. J Am Dent Assoc 1956; 52:566–75.</mixed-citation>
      </ref>
      <ref id="B8">
        <mixed-citation xlink:type="simple">8. Litton SF, Ackermann LV, Isaacson RJ, et al. A genetic study of Class 3 malocclusion. Am J Orthod 1970; 58:565–77.</mixed-citation>
      </ref>
      <ref id="B9">
        <mixed-citation xlink:type="simple">9. Jorgensen RJ. Birth defects encyclopedia. Cambridge Blackwell Scientific Publications: 1990.</mixed-citation>
      </ref>
      <ref id="B10">
        <mixed-citation xlink:type="simple">10. Li Q, Zhang F, Li X, et al. Genome scan for locus involved in mandibular prognathism in pedigrees from China. PLoS One 2010; 5(9):e12678. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1371/journal.pone.0012678">10.1371/journal.pone.0012678</ext-link></mixed-citation>
      </ref>
      <ref id="B11">
        <mixed-citation xlink:type="simple">11. Wolff G, Wienker TF, Sander H. On the genetics of mandibular prognathism: analysis of large European noble families. J Med Genet 1993; 30:112–6.</mixed-citation>
      </ref>
      <ref id="B12">
        <mixed-citation xlink:type="simple">12. Watanabe M, Suda N, Ohyama K. Mandibular prognathism in Japanese families ascertained through orthognathically treated patients. Am J Orthod Dentofacial Orthop 2005; 128:466–70.</mixed-citation>
      </ref>
      <ref id="B13">
        <mixed-citation xlink:type="simple">13. El-Gheriani AA, Maher BS, El-Gheriani AS, et al. Segregation analysis of mandibular prognathism in Libya. J Dent Res 2003; 82:523–7.</mixed-citation>
      </ref>
      <ref id="B14">
        <mixed-citation xlink:type="simple">14. Downs WG. Studies in the causes of dental anomalies. Genetics 1927; 12:570–80.</mixed-citation>
      </ref>
      <ref id="B15">
        <mixed-citation xlink:type="simple">15. Iwagake H. Hereditary inﬂuence of malocclusion. Am J Orthod Oral Surg 1938; 24:328–36.</mixed-citation>
      </ref>
      <ref id="B16">
        <mixed-citation xlink:type="simple">16. Kraus BS, Wise WJ, Frei RH. Heredity and the craniofacial complex. Am J Orthod 1959; 45:172–217.</mixed-citation>
      </ref>
      <ref id="B17">
        <mixed-citation xlink:type="simple">17. McKusick VA. Hereditary disorders of connective tissue. Bull N Y Acad Med 1959; 35(3):143–56.</mixed-citation>
      </ref>
      <ref id="B18">
        <mixed-citation xlink:type="simple">18. Mossey PA. The heritability of malocclusion: Part 1--Genetics, principles and terminology. Br J Orthod 1999; 26:103–13.</mixed-citation>
      </ref>
      <ref id="B19">
        <mixed-citation xlink:type="simple">19. Deák F, Wagener R, Kiss I, et al. The matrilins: a novel family of oligomeric extracellular matrix proteins. Matrix Biol 1999; 18:55–64.</mixed-citation>
      </ref>
      <ref id="B20">
        <mixed-citation xlink:type="simple">20. Ohno S, Murakami K, Tanimoto K, et al. Immunohistochemical study of matrilin-1 in arthritic articular cartilage of the mandibular condyle. J Oral Pathol Med 2003; 32:237–42.</mixed-citation>
      </ref>
      <ref id="B21">
        <mixed-citation xlink:type="simple">21. Yamaguchi T, Park SB, Narita A, et al. Genome-wide linkage analysis of mandibular prognathism in Korean and Japanese patients. J Dent Res 2005; 84:255–9.</mixed-citation>
      </ref>
      <ref id="B22">
        <mixed-citation xlink:type="simple">22. Klatt AR, Paulsson M, Wagener R. Expression of matrilins during maturation of mouse skeletal tissues. Matrix Biol 2002; 21:289–96.</mixed-citation>
      </ref>
      <ref id="B23">
        <mixed-citation xlink:type="simple">23. Nicolae C, Ko YP, Miosge N, et al. Abnormal collagen fibrils in cartilage of matrilin-1/matrilin-3-deficient mice. J Biol Chem 2007; 282:22163–75.</mixed-citation>
      </ref>
      <ref id="B24">
        <mixed-citation xlink:type="simple">24. Jang JY, Park EK, Ryoo HM, et al. Polymorphisms in the Matrilin-1 gene and risk of mandibular prognathism in Koreans. J Dent Res 2010; 89:1203–7.</mixed-citation>
      </ref>
      <ref id="B25">
        <mixed-citation xlink:type="simple">25. Laviana A, Thahar B, Melani A, et al. Role of matrilin-1 (MATN1) polymorphism in class III skeletal malocclusion with mandibular prognathism in Deutero-Malay race: a case-control study. Egypt J Med Hum Genet 2021; 22:11.</mixed-citation>
      </ref>
      <ref id="B26">
        <mixed-citation xlink:type="simple">26. Tassopoulou-Fishell M, Deeley K, Harvey EM, et al. Genetic variation in myosin 1H contributes to mandibular prognathism. Am J Orthod Dentofacial Orthop 2012; 141:51–9.</mixed-citation>
      </ref>
      <ref id="B27">
        <mixed-citation xlink:type="simple">27. Atteeri A, Neela PK, Mamillapalli PK, et al. Analysis of MYO1H gene polymorphism in skeletal class-III malocclusion due to mandibular prognathism. Glob Med Genet 2021; 25:8(4):156–61.</mixed-citation>
      </ref>
      <ref id="B28">
        <mixed-citation xlink:type="simple">28. Dalaie K, Yassaee VR, Behnaz M, et al. Relationship of the rs10850110 and rs11611277 polymorphisms of the MYO1H gene with non-syndromic mandibular prognathism in the Iranian population. Dent Med Probl 2020; 57(4):433–40.</mixed-citation>
      </ref>
      <ref id="B29">
        <mixed-citation xlink:type="simple">29. Milosevic O, Nikolic N, Carkic J, et al. Single nucleotide polymorphisms MYO1H 1001 C&gt;T SNP (rs3825393) is a strong risk factor for mandibular prognathism. Am J Orthod Dentofacial Orthop 2022; 162(5):e246–e251.</mixed-citation>
      </ref>
      <ref id="B30">
        <mixed-citation xlink:type="simple">30. Perillo L, Monsurrò A, Bonci E, et al. Genetic association of ARHGAP21 gene variant with mandibular prognathism. J Dent Res 2015; 94:569–76.</mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
